Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"Non-Parametrics"”.
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Non-Parametric Priors for Functional Data and Partition Labelling Models
<p>Previous papers introduced a variety of extensions of the Dirichlet process to the func-</p><p>tional domain, focusing on the challenges presented by extending the stick-breaking</p><p>process. In this thesis some of these are examined in more detail for similarities</p><p>and differences in …
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Non-parametric modelling of signals on graphs
… that Gaussian processes, a class of Bayesian non-parametric models, are particularly well suited for modelling data on graph domains. To provide evidence for this hypothesis, I demonstrate the merits of Bayesian non-parametric modelling for graph data by deriving Gaussian process models for …
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Hierarchical Inference in Gaussian Processes
… of Gaussian process models in the context of non-parameteric regression and latent variable modelling. While in earlier chapters the focus remains largely on the traditional setting of hyperparameter inference, we also develop a novel hierarchical construction leveraging modern neural networks …